{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 中文 Python 笔记"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> 版本：0.0.1<br>\n",
    "> 作者：李金<br>\n",
    "> 邮件：lijinwithyou@gmail.com\n",
    "\n",
    "`Github` 加载 `.ipynb` 的速度较慢，建议在 [Nbviewer](http://nbviewer.ipython.org/github/lijin-THU/notes-python/blob/master/index.ipynb) 中查看该项目。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## 简介\n",
    "\n",
    "大部分内容来自网络。\n",
    "\n",
    "默认安装了 `Python 2.7`，以及相关的第三方包 `ipython`， `numpy`， `scipy`，`pandas`。\n",
    "\n",
    "> life is short. use python.\n",
    "\n",
    "推荐使用 [Anaconda](http://www.continuum.io/downloads)，这个IDE集成了大部分常用的包。\n",
    "\n",
    "笔记内容使用 `ipython notebook` 来展示。\n",
    "\n",
    "安装好 `Python` 和相应的包之后，可以在命令行下输入：\n",
    "\n",
    "```\n",
    "$ ipython notebook\n",
    "```\n",
    "来进入 `ipython notebook`。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----\n",
    "\n",
    "## 基本环境配置\n",
    "\n",
    "- 安装 [Anaconda](http://www.continuum.io/downloads) 或者 [Miniconda](http://conda.pydata.org/miniconda.html)\n",
    "\n",
    "- 更新环境\n",
    "``` \n",
    "conda update conda\n",
    "conda update anaconda\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## 参考\n",
    "\n",
    "- [Enthought Training on Demand](https://training.enthought.com/)\n",
    "- [Computational Statistics in Python](http://people.duke.edu/~ccc14/sta-663/index.html#rd)\n",
    "- [Scipy.org](http://scipy.org/)\n",
    "- [Deep Learning Tutorials](http://deeplearning.net/tutorial/)\n",
    "- [High Performance Scientific Computing](http://faculty.washington.edu/rjl/uwhpsc-coursera/index.html)\n",
    "- [Scipy Lectures](http://www.scipy-lectures.org/)\n",
    "- [Pandas.org](http://pandas.pydata.org/pandas-docs/stable/index.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----\n",
    "\n",
    "## 目录"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以在 Notebook 中打开 `generate static files.ipynb`，或者命令行中运行代码 `generate_static_files.py` 来生成静态的 HTML 文件。\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- [01. **Python 工具**](01. python tools)\n",
    "\t - [01.01 Python 简介](01. python tools/01.01 python overview.ipynb)\n",
    "\t - [01.02 Ipython 解释器](01. python tools/01.02 ipython interpreter.ipynb)\n",
    "\t - [01.03 Ipython notebook](01. python tools/01.03 ipython notebook.ipynb)\n",
    "\t - [01.04 使用 Anaconda](01. python tools/01.04 use anaconda.ipynb)\n",
    "- [02. **Python 基础**](02. python essentials)\n",
    "\t - [02.01 Python 入门演示](02. python essentials/02.01 a tour of python.ipynb)\n",
    "\t - [02.02 Python 数据类型](02. python essentials/02.02 python data types.ipynb)\n",
    "\t - [02.03 数字](02. python essentials/02.03 numbers.ipynb)\n",
    "\t - [02.04 字符串](02. python essentials/02.04 strings.ipynb)\n",
    "\t - [02.05 索引和分片](02. python essentials/02.05 indexing and slicing.ipynb)\n",
    "\t - [02.06 列表](02. python essentials/02.06 lists.ipynb)\n",
    "\t - [02.07 可变和不可变类型](02. python essentials/02.07 mutable and immutable data types.ipynb)\n",
    "\t - [02.08 元组](02. python essentials/02.08 tuples.ipynb)\n",
    "\t - [02.09 列表与元组的速度比较](02. python essentials/02.09 speed comparison between list & tuple.ipynb)\n",
    "\t - [02.10 字典](02. python essentials/02.10 dictionaries.ipynb)\n",
    "\t - [02.11 集合](02. python essentials/02.11 sets.ipynb)\n",
    "\t - [02.12 不可变集合](02. python essentials/02.12 frozen sets.ipynb)\n",
    "\t - [02.13 Python 赋值机制](02. python essentials/02.13 how python assignment works.ipynb)\n",
    "\t - [02.14 判断语句](02. python essentials/02.14 if statement.ipynb)\n",
    "\t - [02.15 循环](02. python essentials/02.15 loops.ipynb)\n",
    "\t - [02.16 列表推导式](02. python essentials/02.16 list comprehension.ipynb)\n",
    "\t - [02.17 函数](02. python essentials/02.17 functions.ipynb)\n",
    "\t - [02.18 模块和包](02. python essentials/02.18 modules and packages.ipynb)\n",
    "\t - [02.19 异常](02. python essentials/02.19 exceptions.ipynb)\n",
    "\t - [02.20 警告](02. python essentials/02.20 warnings.ipynb)\n",
    "\t - [02.21 文件读写](02. python essentials/02.21 file IO.ipynb)\n",
    "- [03. **Numpy**](03. numpy)\n",
    "\t - [03.01 Numpy 简介](03. numpy/03.01 numpy overview.ipynb)\n",
    "\t - [03.02 Matplotlib 基础](03. numpy/03.02 matplotlib basics.ipynb)\n",
    "\t - [03.03 Numpy 数组及其索引](03. numpy/03.03 numpy arrays.ipynb)\n",
    "\t - [03.04 数组类型](03. numpy/03.04 array types.ipynb)\n",
    "\t - [03.05 数组方法](03. numpy/03.05 array calculation method.ipynb)\n",
    "\t - [03.06 数组排序](03. numpy/03.06 sorting numpy arrays.ipynb)\n",
    "\t - [03.07 数组形状](03. numpy/03.07 array shapes.ipynb)\n",
    "\t - [03.08 对角线](03. numpy/03.08 diagonals.ipynb)\n",
    "\t - [03.09 数组与字符串的转换](03. numpy/03.09 data to & from string.ipynb)\n",
    "\t - [03.10 数组属性方法总结](03. numpy/03.10 array attribute & method overview .ipynb)\n",
    "\t - [03.11 生成数组的函数](03. numpy/03.11 array creation functions.ipynb)\n",
    "\t - [03.12 矩阵](03. numpy/03.12 matrix object.ipynb)\n",
    "\t - [03.13 一般函数](03. numpy/03.13 general functions.ipynb)\n",
    "\t - [03.14 向量化函数](03. numpy/03.14 vectorizing functions.ipynb)\n",
    "\t - [03.15 二元运算](03. numpy/03.15 binary operators.ipynb)\n",
    "\t - [03.16 ufunc 对象](03. numpy/03.16 universal functions.ipynb)\n",
    "\t - [03.17 choose 函数实现条件筛选](03. numpy/03.17 choose.ipynb)\n",
    "\t - [03.18 数组广播机制](03. numpy/03.18 array broadcasting.ipynb)\n",
    "\t - [03.19 数组读写](03. numpy/03.19 reading and writing arrays.ipynb)\n",
    "\t - [03.20 结构化数组](03. numpy/03.20 structured arrays.ipynb)\n",
    "\t - [03.21 记录数组](03. numpy/03.21 record arrays.ipynb)\n",
    "\t - [03.22 内存映射](03. numpy/03.22 memory maps.ipynb)\n",
    "\t - [03.23 从 Matlab 到 Numpy](03. numpy/03.23 from matlab to numpy.ipynb)\n",
    "- [04. **Scipy**](04. scipy)\n",
    "\t - [04.01 SCIentific PYthon 简介](04. scipy/04.01 scienticfic python overview.ipynb)\n",
    "\t - [04.02 插值](04. scipy/04.02 interpolation with scipy.ipynb)\n",
    "\t - [04.03 概率统计方法](04. scipy/04.03 statistics with scipy.ipynb)\n",
    "\t - [04.04 曲线拟合](04. scipy/04.04 curve fitting.ipynb)\n",
    "\t - [04.05 最小化函数](04. scipy/04.05 minimization in python.ipynb)\n",
    "\t - [04.06 积分](04. scipy/04.06 integration in python.ipynb)\n",
    "\t - [04.07 解微分方程](04. scipy/04.07 ODEs.ipynb)\n",
    "\t - [04.08 稀疏矩阵](04. scipy/04.08 sparse matrix.ipynb)\n",
    "\t - [04.09 线性代数](04. scipy/04.09 linear algbra.ipynb)\n",
    "\t - [04.10 稀疏矩阵的线性代数](04. scipy/04.10 sparse linear algebra.ipynb)\n",
    "- [05. **Python 进阶**](05. advanced python)\n",
    "\t - [05.01 sys 模块简介](05. advanced python/05.01 overview of the sys module.ipynb)\n",
    "\t - [05.02 与操作系统进行交互：os 模块](05. advanced python/05.02 interacting with the OS - os.ipynb)\n",
    "\t - [05.03 CSV 文件和 csv 模块](05. advanced python/05.03 comma separated values.ipynb)\n",
    "\t - [05.04 正则表达式和 re 模块](05. advanced python/05.04 regular expression.ipynb)\n",
    "\t - [05.05 datetime 模块](05. advanced python/05.05 datetime.ipynb)\n",
    "\t - [05.06 SQL 数据库](05. advanced python/05.06 sql databases.ipynb)\n",
    "\t - [05.07 对象关系映射](05. advanced python/05.07 object-relational mappers.ipynb)\n",
    "\t - [05.08 函数进阶：参数传递，高阶函数，lambda 匿名函数，global 变量，递归](05. advanced python/05.08 functions.ipynb)\n",
    "\t - [05.09 迭代器](05. advanced python/05.09 iterators.ipynb)\n",
    "\t - [05.10 生成器](05. advanced python/05.10 generators.ipynb)\n",
    "\t - [05.11 with 语句和上下文管理器](05. advanced python/05.11 context managers and the with statement.ipynb)\n",
    "\t - [05.12 修饰符](05. advanced python/05.12 decorators.ipynb)\n",
    "\t - [05.13 修饰符的使用](05. advanced python/05.13 decorator usage.ipynb)\n",
    "\t - [05.14 operator, functools, itertools, toolz, fn, funcy 模块](05. advanced python/05.14 the operator functools itertools toolz fn funcy module.ipynb)\n",
    "\t - [05.15 作用域](05. advanced python/05.15 scope.ipynb)\n",
    "\t - [05.16 动态编译](05. advanced python/05.16 dynamic code execution.ipynb)\n",
    "- [06. **Matplotlib**](06. matplotlib)\n",
    "\t - [06.01 Pyplot 教程](06. matplotlib/06.01 pyplot tutorial.ipynb)\n",
    "\t - [06.02 使用 style 来配置 pyplot 风格](06. matplotlib/06.02 customizing plots with style sheets.ipynb)\n",
    "\t - [06.03 处理文本（基础）](06. matplotlib/06.03  working with text - basic.ipynb)\n",
    "\t - [06.04 处理文本（数学表达式）](06. matplotlib/06.04 working with text - math expression.ipynb)\n",
    "\t - [06.05 图像基础](06. matplotlib/06.05 image tutorial.ipynb)\n",
    "\t - [06.06 注释](06. matplotlib/06.06 annotating axes.ipynb)\n",
    "\t - [06.07 标签](06. matplotlib/06.07 legend.ipynb)\n",
    "\t - [06.08 figures, subplots, axes 和 ticks 对象](06. matplotlib/06.08 figures, subplots, axes and ticks.ipynb)\n",
    "\t - [06.09 不要迷信默认设置](06. matplotlib/06.09 do not trust the defaults.ipynb)\n",
    "\t - [06.10 各种绘图实例](06. matplotlib/06.10 different plots.ipynb)\n",
    "- [07. **使用其他语言进行扩展**](07. interfacing with other languages)\n",
    "\t - [07.01 简介](07. interfacing with other languages/07.01 introduction.ipynb)\n",
    "\t - [07.02 Python 扩展模块](07. interfacing with other languages/07.02 python extension modules.ipynb)\n",
    "\t - [07.03 Cython：Cython 基础，将源代码转换成扩展模块](07. interfacing with other languages/07.03 cython part 1.ipynb)\n",
    "\t - [07.04 Cython：Cython 语法，调用其他C库](07. interfacing with other languages/07.04 cython part 2.ipynb)\n",
    "\t - [07.05 Cython：class 和 cdef class，使用 C++](07. interfacing with other languages/07.05 cython part 3.ipynb)\n",
    "\t - [07.06 Cython：Typed memoryviews](07. interfacing with other languages/07.06 cython part 4.ipynb)\n",
    "\t - [07.07 生成编译注释](07. interfacing with other languages/07.07 profiling with annotations.ipynb)\n",
    "\t - [07.08 ctypes](07. interfacing with other languages/07.08 ctypes.ipynb)\n",
    "- [08. **面向对象编程**](08. object-oriented programming)\n",
    "\t - [08.01 简介](08. object-oriented programming/08.01 oop introduction.ipynb)\n",
    "\t - [08.02 使用 OOP 对森林火灾建模](08. object-oriented programming/08.02 using oop model a forest fire.ipynb)\n",
    "\t - [08.03 什么是对象？](08. object-oriented programming/08.03 what is a object.ipynb)\n",
    "\t - [08.04 定义 class](08. object-oriented programming/08.04 writing classes.ipynb)\n",
    "\t - [08.05 特殊方法](08. object-oriented programming/08.05 special method.ipynb)\n",
    "\t - [08.06 属性](08. object-oriented programming/08.06 properties.ipynb)\n",
    "\t - [08.07 森林火灾模拟](08. object-oriented programming/08.07 forest fire simulation.ipynb)\n",
    "\t - [08.08 继承](08. object-oriented programming/08.08 inheritance.ipynb)\n",
    "\t - [08.09 super() 函数](08. object-oriented programming/08.09 super.ipynb)\n",
    "\t - [08.10 重定义森林火灾模拟](08. object-oriented programming/08.10 refactoring the forest fire simutation.ipynb)\n",
    "\t - [08.11 接口](08. object-oriented programming/08.11 interfaces.ipynb)\n",
    "\t - [08.12 共有，私有和特殊方法和属性](08. object-oriented programming/08.12 public private special in python.ipynb)\n",
    "\t - [08.13 多重继承](08. object-oriented programming/08.13 multiple inheritance.ipynb)\n",
    "- [09. **Theano 基础**](09. theano)\n",
    "\t - [09.01 Theano 简介及其安装](09. theano/09.01 introduction and installation.ipynb)\n",
    "\t - [09.02 Theano 基础](09. theano/09.02 theano basics.ipynb)\n",
    "\t - [09.03 Theano 在 Windows 上的配置](09. theano/09.03 gpu on windows.ipynb)\n",
    "\t - [09.04 Theano 符号图结构](09. theano/09.04 graph structures.ipynb)\n",
    "\t - [09.05 Theano 配置和编译模式](09. theano/09.05 configuration settings and compiling modes.ipynb)\n",
    "\t - [09.06 Theano 条件语句](09. theano/09.06 conditions in theano.ipynb)\n",
    "\t - [09.07 Theano 循环：scan（详解）](09. theano/09.07 loop with scan.ipynb)\n",
    "\t - [09.08 Theano 实例：线性回归](09. theano/09.08 linear regression.ipynb)\n",
    "\t - [09.09 Theano 实例：Logistic 回归](09. theano/09.09 logistic regression .ipynb)\n",
    "\t - [09.10 Theano 实例：Softmax 回归](09. theano/09.10 softmax on mnist.ipynb)\n",
    "\t - [09.11 Theano 实例：人工神经网络](09. theano/09.11 net on mnist.ipynb)\n",
    "\t - [09.12 Theano 随机数流变量](09. theano/09.12 random streams.ipynb)\n",
    "\t - [09.13 Theano 实例：更复杂的网络](09. theano/09.13 modern net on mnist.ipynb)\n",
    "\t - [09.14 Theano 实例：卷积神经网络](09. theano/09.14 convolutional net on mnist.ipynb)\n",
    "\t - [09.15 Theano tensor 模块：基础](09. theano/09.15 tensor basics.ipynb)\n",
    "\t - [09.16 Theano tensor 模块：索引](09. theano/09.16 tensor indexing.ipynb)\n",
    "\t - [09.17 Theano tensor 模块：操作符和逐元素操作](09. theano/09.17 tensor operator and elementwise operations.ipynb)\n",
    "\t - [09.18 Theano tensor 模块：nnet 子模块](09. theano/09.18 tensor nnet .ipynb)\n",
    "\t - [09.19 Theano tensor 模块：conv 子模块](09. theano/09.19 tensor conv.ipynb)\n",
    "- [10. **有趣的第三方模块**](10. something interesting)\n",
    "\t - [10.01 使用 basemap 画地图](10. something interesting/10.01 maps using basemap.ipynb)\n",
    "\t - [10.02 使用 cartopy 画地图](10. something interesting/10.02 maps using cartopy.ipynb)\n",
    "\t - [10.03 探索 NBA 数据](10. something interesting/10.03 nba data.ipynb)\n",
    "- [11. **有用的工具**](11. useful tools)\n",
    "\t - [11.01 pprint 模块：打印 Python 对象](11. useful tools/11.01 pprint.ipynb)\n",
    "\t - [11.02 pickle, cPickle 模块：序列化 Python 对象](11. useful tools/11.02 pickle and cPickle.ipynb)\n",
    "\t - [11.03 json 模块：处理 JSON 数据](11. useful tools/11.03 json.ipynb)\n",
    "\t - [11.04 glob 模块：文件模式匹配](11. useful tools/11.04 glob.ipynb)\n",
    "\t - [11.05 shutil 模块：高级文件操作](11. useful tools/11.05 shutil.ipynb)\n",
    "\t - [11.06 gzip, zipfile, tarfile 模块：处理压缩文件](11. useful tools/11.06 gzip, zipfile, tarfile.ipynb)\n",
    "\t - [11.07 logging 模块：记录日志](11. useful tools/11.07 logging.ipynb)\n",
    "\t - [11.08 string 模块：字符串处理](11. useful tools/11.08 string.ipynb)\n",
    "\t - [11.09 collections 模块：更多数据结构](11. useful tools/11.09 collections.ipynb)\n",
    "\t - [11.10 requests 模块：HTTP for Human](11. useful tools/11.10 requests.ipynb)\n",
    "- [12. **Pandas**](12. pandas)\n",
    "\t - [12.01 十分钟上手 Pandas](12. pandas/12.01 ten minutes to pandas.ipynb)\n",
    "\t - [12.02 一维数据结构：Series](12. pandas/12.02 series in pandas.ipynb)\n",
    "\t - [12.03 二维数据结构：DataFrame](12. pandas/12.03 dataframe in pandas.ipynb)\n"
   ]
  }
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